Automatic Center Detection of Tropical Cyclone Using Image Processing Based on the Operational Radar Network
This study presents the algorithm ACTION, defined as automatic center detection of tropical cyclone (TC) using image processing based on the operational radar network. Based on the high visibility of weather radar imagery, a TC’s motion vector is calculated from the continuous image change using opt...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-01-01
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| Series: | Atmosphere |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4433/14/1/168 |
| _version_ | 1827628711421149184 |
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| author | Sun-Jin Mo Ji-Young Gu |
| author_facet | Sun-Jin Mo Ji-Young Gu |
| author_sort | Sun-Jin Mo |
| collection | DOAJ |
| description | This study presents the algorithm ACTION, defined as automatic center detection of tropical cyclone (TC) using image processing based on the operational radar network. Based on the high visibility of weather radar imagery, a TC’s motion vector is calculated from the continuous image change using optical flow, producing the TC’s rotation center. The algorithm performance was verified by analyzing the typhoons (TCs in the northwestern Pacific) that affected the Korean Peninsula from 2018–2021, demonstrating a high detection rate of 80.8% within an error distance of 40 km against the best track of the Korea Meteorological Administration (KMA). The detection rate was 100% for typhoons with temporally consistent morphological characteristics. ACTION automatically generates TC center information upon the TC’s initial entry inside the observation radius even in the absence of uniform radar data. As ACTION is capable of performing real-time calculations that are directly applied to rapidly generated weather radar images, it is currently being utilized by the KMA. The high temporal resolution TC center information calculated through ACTION is expected to improve the efficiency of TC forecasting. |
| first_indexed | 2024-03-09T13:38:17Z |
| format | Article |
| id | doaj.art-9b2abc1d8a7041ee95d13104d8899a02 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-09T13:38:17Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-9b2abc1d8a7041ee95d13104d8899a022023-11-30T21:10:22ZengMDPI AGAtmosphere2073-44332023-01-0114116810.3390/atmos14010168Automatic Center Detection of Tropical Cyclone Using Image Processing Based on the Operational Radar NetworkSun-Jin Mo0Ji-Young Gu1Weather Radar Center of Korea Meteorological Administration, Seoul 07062, Republic of KoreaWeather Radar Center of Korea Meteorological Administration, Seoul 07062, Republic of KoreaThis study presents the algorithm ACTION, defined as automatic center detection of tropical cyclone (TC) using image processing based on the operational radar network. Based on the high visibility of weather radar imagery, a TC’s motion vector is calculated from the continuous image change using optical flow, producing the TC’s rotation center. The algorithm performance was verified by analyzing the typhoons (TCs in the northwestern Pacific) that affected the Korean Peninsula from 2018–2021, demonstrating a high detection rate of 80.8% within an error distance of 40 km against the best track of the Korea Meteorological Administration (KMA). The detection rate was 100% for typhoons with temporally consistent morphological characteristics. ACTION automatically generates TC center information upon the TC’s initial entry inside the observation radius even in the absence of uniform radar data. As ACTION is capable of performing real-time calculations that are directly applied to rapidly generated weather radar images, it is currently being utilized by the KMA. The high temporal resolution TC center information calculated through ACTION is expected to improve the efficiency of TC forecasting.https://www.mdpi.com/2073-4433/14/1/168TC center detectionimage processingoptical flowoperational radar networkACTION |
| spellingShingle | Sun-Jin Mo Ji-Young Gu Automatic Center Detection of Tropical Cyclone Using Image Processing Based on the Operational Radar Network Atmosphere TC center detection image processing optical flow operational radar network ACTION |
| title | Automatic Center Detection of Tropical Cyclone Using Image Processing Based on the Operational Radar Network |
| title_full | Automatic Center Detection of Tropical Cyclone Using Image Processing Based on the Operational Radar Network |
| title_fullStr | Automatic Center Detection of Tropical Cyclone Using Image Processing Based on the Operational Radar Network |
| title_full_unstemmed | Automatic Center Detection of Tropical Cyclone Using Image Processing Based on the Operational Radar Network |
| title_short | Automatic Center Detection of Tropical Cyclone Using Image Processing Based on the Operational Radar Network |
| title_sort | automatic center detection of tropical cyclone using image processing based on the operational radar network |
| topic | TC center detection image processing optical flow operational radar network ACTION |
| url | https://www.mdpi.com/2073-4433/14/1/168 |
| work_keys_str_mv | AT sunjinmo automaticcenterdetectionoftropicalcycloneusingimageprocessingbasedontheoperationalradarnetwork AT jiyounggu automaticcenterdetectionoftropicalcycloneusingimageprocessingbasedontheoperationalradarnetwork |